Role Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform exploratory data analysis to identify trends, patterns, and anomalies. - Develop and implement machine learning models and algorithms. - Create data visualizations and reports to communicate findings to stakeholders. - Collaborate with team members on data-driven projects and research. - Participate in meetings and contribute to discussions on project progress and strategy. - Work with large datasets to clean, preprocess, and analyze data. - Build and deploy statistical and machine learning models to generate actionable insights. - Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. - Assist in the creation of data visualizations and dashboards for reporting insights. - Support the development and improvement of data pipelines and algorithms. - Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. - Contribute to the documentation and presentation of results, findings, and recommendations. - Participate in team meetings, brainstorming sessions, and project discussions. Qualifications - Any Graduate / PassOuts / Freshers can apply. - Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Strong foundation in statistics, probability, and data analysis techniques. Requirements - Duration: 2 Months (with the possibility of extending up to 6 months) - MODE: Work From Home (Online) Benefits - Internship Certificate - Letter of recommendation - Stipend Performance Based - Part time work from home (2-3 Hrs per day) - 5 days a week, Fully Flexible Shift

• Design, implement and operate solutions for hardware design data migration within complex semiconductor hardware design environments • Set up, configure and validate temporary mitigation or transition systems for hardware design data (e.g., EDA data management or configuration management systems) • Develop data migration concepts and strategies for transitions between different hardware design data management, configuration management and lifecycle systems (e.g., from legacy platforms to modern PLM/IPLM or version control solutions) • Plan, execute and validate export and import procedures using sample, test and production data • Define and document data topologies, vault/repository structures, data paths, mappings and inventories • Develop, review and validate migration and automation scripts, ensuring data integrity, consistency and completeness • Support server-side and hardware design infrastructure configurations, toolchain and EDA integrations (e.g., Cadence-based environments / DFII) • Collaborate closely with engineering, IT and infrastructure teams and contribute to testing, reviews, documentation and end-user readiness

Title: AI Data Engineer Stf Location: King Of Prussia United States Job Description: Description:We are seeking a senior‑level AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate will have a proven track record of delivering enterprise‑grade data platforms, strong expertise with SAP HANA and modern cloud data services, and recent experience in AI/ML workflows (e.g., data preparation for model training, feature stores, model‑ready data delivery). Key Responsibilities - Design, build, and maintain secure data pipelines for classified AI/ML workloads - Design and implement ontology-driven data models to support knowledge representation and reasoning - Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs - Implement rigorous data validation, lineage, and governance controls in compliance with security requirements - Collaboration with data architects and data analysts to develop a solution across the entire data processing pipeline - Experience working with business stakeholders to develop and deploy data analytics solutions and/or custom software application solutions and leading teams to implement these solutions - Optimize performance and reliability of large-scale data systems under constrained environments - Mentor junior engineers and uphold secure coding and engineering best practices - Responsible for collecting, ingesting, processing, and storing large datasets from a wide variety of data sources and stakeholders - Able to perform impact analysis including lineage, upstream and downstream dependencies. - US Citizenship Basic Qualifications: - Degree in Computer Science, Systems Engineering, or related field - 10+ years of experience in data engineering, including 3+ years supporting AI/ML systems - traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting) - 5+ years of experience in data analysis, data/system architecture - Experience in gathering requirements and understanding business processes - Strong proficiency in Python, NiFi, SQL - Experience with distributed data processing frameworks (e.g., Spark or similar) - Hands-on experience building ETL/ELT pipelines at scale - Familiarity with secure cloud environments (e.g., AWS GovCloud, Azure Government) or on-prem systems - Understanding of data security principles, including encryption, access control - Familiar with Safe Agile framework Desired Skills: - Experience designing and building ontologies, taxonomies, or knowledge graphs - Demonstrate ability to establish strong team relationships and deliver an exceptional customer experience - Excellent organizational, time management, analytical and problem-solving skills - Master's degree in a related technical field Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $131,000 - $227,125. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: No Career Area: Information Technology Type: Full-Time Shift: First

Role Description The Head of Data & Systems is responsible for the company’s data architecture, analytics, internal business systems, and internal engineering functions. Reporting to the Chief Financial Officer (CFO), this role ensures the company operates on accurate data and reliable technology platforms that support a growing staffing business. In a services-driven organization, data accuracy, operational systems, and internal tools are mission-critical. This role brings those functions together under a single owner to enable scalable delivery, strong financial controls, and informed executive decision-making. Responsibilities - Data & Analytics Ownership - Own the company’s data architecture, including source systems, pipelines, data warehouses, data sources, integrations, and reporting layers. - Establish and enforce data governance with a focus on financial and operational accuracy. - Ensure authoritative business metric accuracy (in the form of reports and dashboards) for: - Revenue, gross margin, and operational efficiency across business units, accounts, and headcounts. - Headcount, capacity, and delivery performance. - Sales pipeline (including forecast) and client performance. - Recruiting performance, including time-to-fill, placement rates, funnel conversion, and hiring velocity. - HR and people metrics, including retention, attrition, tenure, engagement, and performance trends. - Oversee analytics delivery for executive reporting, forecasting, and operational insights. - Ensure leadership can rely on a single source of truth. - Internal Systems & Platform Strategy - Lead system integrations across multiple systems and data sources to ensure clean data flow across the organization. - Identify and implement AI-driven automation of manual, error-prone processes across recruiting, sales, finance, and delivery operations. - Make build vs. buy decisions aligned with scale, cost, and operational complexity. - Act as accountable owner for system reliability and data integrity. Success Looks Like - Leadership, Finance, and Operations trust the numbers and systems they rely on. - Staffing, billing, and delivery workflows are efficient and scalable. - Reporting cycles are faster, clearer, and less manual. - Technology is seen as an operational advantage, not a cost center. Qualifications - 10+ years of experience across data, systems, engineering, or product roles. - Solid experience working with and integrating business tools and systems: - Data warehouses (Azure Data Lake or equivalent). - ETL/ELT pipelines (Azure Data Factory or equivalent). - BI Platforms (PowerBI, Zoho, Looker, Tableau). - CRM (HubSpot). - Financial systems (QuickBooks). - Talent management (ICIMS). - Strong understanding of Operational and financial analytics. - Ability to operate at both strategic and hands-on levels. - Strong communication skills with executive and non-technical stakeholders. Preferred - Experience in staffing, professional services, or labor-based businesses. - Experience scaling internal platforms in a mid-size company (300–1,000 employees). Required Skills - Data Engineering (7) - Analytics (7) - ETL (7) - Team Management (4) - Business Intelligence (BI) (7) - Data Warehousing (5) Years of Experience Needed - 7